Multi-temporal　high-density　terrestrial　laser　scanning　(TLS)　datasets　are　processed　to　delineating　possible　movements　from　terrain　surfaces　and　trees.　Terrain　surface　movements　are　estimated　with　the　help　of　segmentation　and　random　sample　consensus　(RANSAC)　algorithm.　Tree　movements　are　interpreted　by　iterative　closest　point　(ICP)　solved　translations　and　rotations　of　tree　point　clouds.　The　capabilities　of　the　proposed　methodology　were　tested　using　a　case　study　of　the　Slumgullion　landslide,　where　the　trees　without　clear　trunks　cover　the　terrain　surfaces.　The　displacements　from　the　terrain　surfaces　and　trees　are　similar　with　the　results　observed　using　our　global　positioning　system　(GPS)　and　historic　results.